The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Feature Selection (FS) methods alleviate key problems in classification procedures as they
are used to improve classification accuracy, reduce data dimensionality, and remove …

The evaluation of feature selection methods for text classification with small sample datasets
must consider classification performance, stability, and efficiency. It is, thus, a multiple …

This paper proposes three feature selection algorithms with feature weight scheme and
dynamic dimension reduction for the text document clustering problem. Text document …

Feature selection is known as a good solution to the high dimensionality of the feature space
and mostly preferred feature selection methods for text classification are filter-based ones. In …

As the huge dimensionality of textual data restrains the classification accuracy, it is essential
to apply feature selection (FS) methods as dimension reduction step in text classification …

Multilabel text categorization is an important task in modern text mining applications. Text
datasets comprise an excessive number of terms, and this can degrade the accuracy …

Gesture recognition is important for human-computer interaction and a variety of emerging
research and commercial areas including virtual and augmented reality. Current …

In this paper, we introduce an alternative framework for selecting a most relevant subset of
the original set of features for the purpose of text categorization. Given a feature set and a …

Communication through e-mails remains to be highly formalized, conventional and
indispensable method for the exchange of information over the Internet. An ever-increasing …